{"id":"W3119588186","doi":"10.1038/s41598-020-80028-3","title":"Bioinformatic mapping of a more precise Aspergillus niger degradome","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Aspergillus niger; Proteases; Serine; Biology; Biochemistry; Computational biology; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003575532,0.0007265522,0.0006639808,0.002413664,0.0006124279,0.001120877,0.0003264697,0.0004192646,0.00221855],"category_scores_gemma":[0.0006705914,0.0002031789,0.0009610371,0.002059064,0.0001659926,0.0006069124,0.0005520902,0.0007235007,0.001928152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991254,"about_ca_system_score_gemma":0.0005912681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007924425,"about_ca_topic_score_gemma":0.001136039,"domain_scores_codex":[0.9997481,0.00002704802,0.00003122791,0.00009582717,0.00005880859,0.00003908138],"domain_scores_gemma":[0.9996642,0.00006127747,0.00007224191,0.00003872178,0.00009019773,0.00007336402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008461514,0.0001351687,0.02017638,0.002158752,0.0001474384,0.002469229,0.0004852354,0.001389911,0.9161789,0.0009888448,0.004455163,0.05056895],"study_design_scores_gemma":[0.0001826634,0.0007504302,0.3767658,0.000839932,0.001329433,0.01103421,0.00209269,0.03998056,0.3356102,0.003595591,0.2275363,0.0002821388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8133095,0.01206124,0.07274681,0.001011791,0.0003984918,0.0003715425,0.08574177,0.004097885,0.01026104],"genre_scores_gemma":[0.6648089,0.00801872,0.1665996,0.0004033037,0.000128691,0.0002851575,0.1543852,0.001056433,0.004314046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002413664,"threshold_uncertainty_score":0.007421792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002075575477866,"score_gpt":0.2662421045479166,"score_spread":0.2462213487931379,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}